Back to Tenders
Pipeline (no deadline published)Find a Tenderocds-h6vhtk-06f747

Resourcing the AI Adoption Programme

Transport for London

Key Details

Estimated Value

Not disclosed

Deadline

Not specified

Contract Period

Not specified

Procurement Method

Not specified

CPV Code

79400000 - Business and management consultancy and related services

Free SME-fit check

Is this tender for me?

Deterministic score from the published notice — not an AI prediction.

54

out of 100

Possible SME fit

Some SME-friendly signals, some caution flags. Worth a closer look against your capacity and accreditations.

Deterministic score from the published notice only (SME/VCSE flags, value, lots, deadline window, framework). Not a prediction you will win, and not legal or bid advice.

Try another notice on the free SME-fit checker.

Key requirements

Extracted from the notice; check the official documents.

Contract period
4 Jan 2027 to 2 Apr 2027 (3 months)
Legal basis
Procurement Act 2023
CPV codes
79400000 Business and management consultancy and related services; 80500000 Training services
Suitability (buyer's flag)
SME-suitable, VCSE-suitable

Description

Greater London government (the GLA Group) is accelerating AI adoption through a common approach to governance, capability and usage​. AI tools are already in use across the GLA group. We are looking to standardise our approach, guidance and governance. ​Our goal is to create the conditions for a well-governed and responsible adoption at scale The GLA Group is exploring the market for an external partner to work with us to shape our AI Adoption Programme cohesively ahead of delivery, in areas where external expertise would add great value to align our policies and co-design training, to responsibly support AI pilots and scale successful pilots across departments and organisations. ​ The requirement is expected to include: Develop and embed London AI principles in organisational policy:​ Develop London-specific AI principles common for the entire GLA Group based on the UK Government's AI Playbook. Embed these principles in each organisation's policies, (incl. those which are not AI-specific and in procurement standards) and operationalise these principles in our culture and practice to ensure responsible and innovative AI use.​ Envision and validate a 'to-be' position on AI best practice ensuring we lead by example on the recommendations in the London AI and Jobs Taskforce report (incl. using our role as an employer and procurer to shape AI adoption and workforce transition in London). Design and deliver a practical tiered training offer:​ For all staff, on what AI can do well, risks and responsibilities, everyday productivity uses and improving prompting.​ For specific teams targeted for having tasks apt for simplification from AI, tailored training on role-specific use cases, practical exercises, measuring benefits and feeding back potential projects and pilots.​ For leadership, organisational changes, strategic opportunities, governance and risk management. Support us in co-designing an operating model for the future of AI Adoption​: Co-design an evaluation framework to confirm which opportunities to pilot and which successful use cases to scale within and across organisations

Suitability

SME SuitableVCSE Suitable

Previously won by

No award has been published for this tender. These are the latest award notices from Transport for London for business services (legal, marketing, consulting, recruitment).

GLA82818 Tax and Governance Review Services · published 1 Oct 2026

UITP Direct Award (2026-2027) · published 22 Sept 2026

Zero Carbon Accelerator - Call Off 2 · published 10 Sept 2026

TfL 97185 - Board Effectiveness Review 2026 · published 7 Sept 2026

TfL ExCo Consultancy Support · published 28 Aug 2026

All open tenders and award history for Transport for London →

From award notices on Find a Tender and Contracts Finder. SME or Large is the size the supplier declared on the notice (or, where it is silent, on its latest notice). Values are as published.

Publication Info

Published15 September 2026
SourceFind a Tender